awesome-mmps
github.com/willxxy/awesome-mmps ↗Corpus of resources for multimodal machine learning with physiological signals (mmps).
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GitHub Stars
360
Curated Resources
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5 hours ago
Last Refreshed
Publications-and-PreprintsDatasetsLaboratories
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me other :placard: + x resources from awesome-mmps"
Installation instructions →What's inside
Publications-and-Preprints
- AAD-LLM: Neural Attention-Driven Auditory Scene UnderstandingOther :placard: + X
- AC-CfC: An attention-based convolutional closed-form continuous-time neural network for raw multi-channel EEG-based emotion recognitionEEG :brain: + X
- A Classification Model for Sensing Human Trust in Machines Using EEG and GSREEG :brain: + X
- ADAPTive Input Training for Many-to-One Pre-Training on Time-Series ClassificationOther :placard: + X
- Adaptive Time Series Reasoning via Segment SelectionOther :placard: + X
- A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time SeriesEMG :muscle: + X
Laboratories
Datasets
- A Large and Rich EEG Dataset for Modeling Human Visual Object Recognition
- Alljoined1 - A dataset for EEG-to-Image decoding
A dataset for EEG-to-Image decoding
- AMIGOS
- A multi-modal open dataset for mental-disorder analysis
- BIDMC PPG and Respiration Dataset
- Dataset of Speech Production in intracranial Electroencephalography
Showing a sample of 360 resources. View the full list on GitHub →